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Machine Vision and Applications
Erschienen in: Machine Vision and Applications 1/2014

01.01.2014 | Original Paper

Biometric template protection with DCT-based watermarking

verfasst von: Mita Paunwala, S. Patnaik

Erschienen in: Machine Vision and Applications | Ausgabe 1/2014

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Abstract

In this paper we have addressed a solution of two big issues in design of multimodal system: template protection and fusion strategy. A robust biometric watermarking algorithm is proposed for biometric template protection. The fingerprint feature vector and iris features are used as watermark. Proposed DCT-based watermarking technique embeds watermark in low-frequency AC coefficients of selected 8 \(\times \) 8 DCT smoother blocks. Blocks are classified based on human visual system. The robustness of the proposed algorithm is compared with the few state-of-art literature when watermarked image is subjected to possible channel attacks. Decision level fusion strategy is used to improve the overall performance of multimodal system. That is achieved by conditionally limiting the threshold of the fingerprint system to a maximum value, obtained by projecting 50 % of the cross over error rate on to the FRR curve of the iris system.
Vorheriger Artikel Thermal cameras and applications: a survey

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Metadaten
Titel
Biometric template protection with DCT-based watermarking
verfasst von
Mita Paunwala
S. Patnaik
Publikationsdatum
01.01.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Machine Vision and Applications / Ausgabe 1/2014
Print ISSN: 0932-8092
Elektronische ISSN: 1432-1769
DOI
https://doi.org/10.1007/s00138-013-0533-x

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